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AIRSIM
Unreal and Unity simulator for autonomous drones and cars
MIT
ABOUT
Training perception and control for drones and cars needs photoreal worlds without crashing hardware. AirSim sits on Unreal Engine and Unity with vehicle dynamics, cameras, and Python APIs so teams collect data, train policies, and test autonomy before flying or driving for real.
INSTALL
pip install airsimINTEGRATION GUIDE
1. Collect photoreal camera and lidar data from simulated drones and cars
2. Train reinforcement learning policies in AirSim before hardware trials
3. Test computer vision pipelines against Unreal environments via the Python API
4. Run hardware-in-the-loop experiments with PX4 or ArduPilot connected to AirSim
TAGS
pythonc++roboticssimulationdronesautonomous-vehiclesunrealreinforcement-learning